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An Anti-Interference Scheme for UAV Data Links in Air–Ground Integrated Vehicular Networks

机译:空地综合车载网络中无人机数据链路的抗干扰方案

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摘要

As one of the main applications of the Internet of things (IoT), the vehicular ad-hoc network (VANET) is the core of the intelligent transportation system (ITS). Air–ground integrated vehicular networks (AGIVNs) assisted by unmanned aerial vehicles (UAVs) have the advantages of wide coverage and flexible configuration, which outperform the ground-based VANET in terms of communication quality. However, the complex electromagnetic interference (EMI) severely degrades the communication performance of UAV sensors. Therefore, it is meaningful and challenging to design an efficient anti-interference scheme for UAV data links in AGIVNs. In this paper, we propose an anti-interference scheme, named as Mary-MCM, for UAV data links in AGIVNs based on multi-ary (M-ary) spread spectrum and multi-carrier modulation (MCM). Specifically, the Mary-MCM disperses the interference power by expanding the signal spectrum, such that the anti-interference ability of AGIVNs is enhanced. Besides, by using MCM and multiple-input multiple-output (MIMO) technologies, the Mary-MCM improves the spectrum utilization effectively while ensuring system performance. The simulation results verify that the Mary-MCM achieves excellent anti-interference performance under different EMI combinations.
机译:车辆自组织网络(VANET)作为物联网(IoT)的主要应用之一,是智能交通系统(ITS)的核心。无人飞行器(UAV)辅助的空地综合车辆网络(AGIVN)具有覆盖范围广和配置灵活的优势,在通信质量方面优于地面VANET。但是,复杂的电磁干扰(EMI)严重降低了无人机传感器的通信性能。因此,为AGIVN中的UAV数据链路设计有效的抗干扰方案既有意义又具有挑战性。在本文中,我们提出了一种基于多进制(Mary)扩频和多载波调制(MCM)的AGIVN中无人机数据链路的抗干扰方案,称为Mary-MCM。具体地,Mary-MCM通过扩展信号频谱来分散干扰功率,从而增强了AGIVN的抗干扰能力。此外,通过使用MCM和多输入多输出(MIMO)技术,Mary-MCM在确保系统性能的同时有效地提高了频谱利用率。仿真结果证明,Mary-MCM在不同的EMI组合下均具有出色的抗干扰性能。

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